Data & Analytics Intern

• Assist in extracting, transforming, and loading (ETL) ERP and operational data into a unified data platform.
• Support data integration and transformation activities using Databricks (PySpark/SQL).
• Help in designing and developing Power BI dashboards for cross-divisional analytics.
• Write and optimize SQL queries and data pipelines for performance and scalability.
• Support creation and maintenance of data documentation, including data dictionaries, process flows, and metadata tracking.
• Assist in implementing data quality checks, validation scripts, and documentation of data issues.
• Learn and contribute to CI/CD processes for analytics workflows and dashboards.
• Work with the team to use Git for version control and collaborative code management.
• Participate in team discussions on data architecture, automation, and dashboard enhancement opportunities.

What you will need:

Required Skills:

• Pursuing or recently completed Bachelors / masters degree in computer science, Engineering, Data Analytics, Statistics, or a related field.
• Basic understanding of SQL, Python, and data visualization tools (preferably Power BI).
• Familiarity with data engineering concepts and cloud platforms (Azure, Databricks experience is a plus).
• Strong analytical and problem-solving mindset.
• Good communication skills and ability to work collaboratively in a team setting.

Preferred Skill:

• Exposure to Azure Cloud.
• Experience using version control tools (Git).
• Understanding of Database, data modeling and data quality principles.